| 项目编号 |
PRJCA021647 |
| 项目标题 |
ITDFinder: Detecting and quantifying FLT3-ITD based on clustering and random forest algorithm |
| 涉及领域 |
Medical |
| 数据类型 |
Genome sequencing
|
| 物种名称 |
Homo sapiens
|
| 描述信息 |
We developed a software called ITDFinder that uses the clustering of candidate mutant reads, which encompass soft-clip, hard-clip and insertion in cigar string ,to ensure qualitative accuracy. Additionally, random forest regression model was performed to correct the quantitative result. This ensures the qualitative and quantitative precision of FLT3-ITD detection as demanded in clinical practice. |
| 样品范围 |
Multiisolate |
| 发布日期 |
2023-11-29 |
| 项目资金来源 |
| 机构 |
项目类型 |
授权项目ID |
授权项目名称 |
| No funding support
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| 提交者 |
Jiayue
Qin (jyqin@live.cn)
|
| 提交单位 |
Acornmed Biotechnology Co., Ltd. |
| 提交日期 |
2023-11-29 |
